EFFECTS OF HISTORY OF MENTAL HEALTH DIAGNOSES AND SUBSTANCE USE ON MENTAL HEALTH PROBLEMS DURING OR POST-PREGNANCY
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Objective: This research analyzed the effects of a history of mental health diagnoses and substance use on mental health problems during or post-pregnancy by using data from electronic health records (EHRs).Materials and Methods: We used the Phase 8 PRAMS-ARF dataset the Pregnancy Risk Assessment Monitoring System (PRAMS) provided and extracted large-scale qualitative EHR data. We analyzed the data using the decision tree model and random forest model to measure how important each factor was to mental health problems during or post-pregnancy. Results: We trained the data using the decision tree and random forest models, obtaining an importance value for each studied factor. Although there are some missing EHR data, we still get the importance values of each factor. According to the results, although the important values of the factors are different in the two models, we can get the same results. For postpartum depression and depression during pregnancy, drug use had the greatest impact on morbidity, but smoking had the least impact. For postpartum anxiety, smoking had the greatest impact, and the other three factors had similar importance. Finally, for anxiety during pregnancy, drinking alcohol had the largest importance score, and hurt emotionally or physically had the smallest score. Discussion and Conclusion: The findings indicate that factors related to the history of mental health diagnoses and substance use significantly affect mental health issues during and after pregnancy. In the future, we should select more relevant factors and extract more samples to evaluate the results further.